An investigation into the optimal number of distractors in single-best answer exams

نویسندگان

  • James M Kilgour
  • Saadia Tayyaba
چکیده

In UK medical schools, five-option single-best answer (SBA) questions are the most widely accepted format of summative knowledge assessment. However, writing SBA questions with four effective incorrect options is difficult and time consuming, and consequently, many SBAs contain a high frequency of implausible distractors. Previous research has suggested that fewer than five-options could hence be used for assessment, without deterioration in quality. Despite an existing body of empirical research in this area however, evidence from undergraduate medical education is sparse. The study investigated the frequency of non-functioning distractors in a sample of 480 summative SBA questions at Cardiff University. Distractor functionality was analysed, and then various question models were tested to investigate the impact of reducing the number of distractors per question on examination difficulty, reliability, discrimination and pass rates. A survey questionnaire was additionally administered to 108 students (33 % response rate) to gain insight into their perceptions of these models. The simulation of various exam models revealed that, for four and three-option SBA models, pass rates, reliability, and mean item discrimination remained relatively constant. The average percentage mark however consistently increased by 1-3 % with the four and three-option models, respectively. The questionnaire survey revealed that the student body had mixed views towards the proposed format change. This study is one of the first to comprehensively investigate distractor performance in SBA examinations in undergraduate medical education. It provides evidence to suggest that using three-option SBA questions would maximise efficiency whilst maintaining, or possibly improving, psychometric quality, through allowing a greater number of questions per exam paper.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The impact of 3-option responses to multiple-choice questions on guessing strategies and cut score determinations

Introduction: Research has asserted MCQ items using threeresponse options (one correct answer with two distractors) iscomparable to, and possibly preferable over, traditional MCQitem formats consisting of four response options (e.g., one correctanswer with three distractors), or five response options (e.g., onecorrect answer with four distractors). Some medical educatorshave also adopted the pr...

متن کامل

It’s More Complicated than That; Comment on “Translating Evidence into Healthcare Policy and Practice: Single Versus Multi-Faceted Implementation Strategies – Is There a Simple Answer to a Complex Question?”

In this commentary the findings from a systematic review that concluded there is no compelling evidence to suggest that implementing complicated, multi-faceted interventions is more effective than simple, single component interventions to changing healthcare professional’s behaviour are considered through the lens of Harvey and Kitson’s editorial. Whilst an appealing conclusion, it is one that ...

متن کامل

Translating Evidence into Healthcare Policy and Practice: Single Versus Multi-Faceted Implementation Strategies – Is There a Simple Answer to a Complex Question?

How best to achieve the translation of research evidence into routine policy and practice remains an enduring challenge in health systems across the world. The complexities associated with changing behaviour at an individual, team, organizational and system level have led many academics to conclude that tailored, multifaceted strategies provide the most effective approach to knowledge translati...

متن کامل

Presentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures

Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...

متن کامل

Presentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures

Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 21  شماره 

صفحات  -

تاریخ انتشار 2016